预测机器能预测我们人工智能的未来吗?回顾

IF 11.5 1区经济学 Q1 ECONOMICS Journal of Economic Literature Pub Date : 2022-09-01 DOI:10.1257/jel.20191519

L. Kotlikoff

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引用次数: 1

摘要

由人工智能(AI)专家Ajay Agrawal、Joshua Gans和Avi Goldfarb撰写的《预测机器:人工智能的简单经济学》毫不留情。人工智能是关于预测的——机器可以准确地学习为我们做什么，为我们做什么。人工智能正在以惊人的速度学习，因为人工智能利用大数据来挑选我们的大脑，了解我们知道什么和喜欢什么。作者们对人工智能的寄生潜力既迷恋又恐惧。读者应该阅读这本令人不寒而栗、见解深刻的书，但他们应该在阅读时搭配一瓶苏格兰威士忌，最好是来自苏格兰古老的酿酒厂之一，这家酿酒厂最近已经完全自动化了。(凝胶c45, c55, e26, m10, m20, o30)

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Does Prediction Machines Predict Our AI Future? A Review

Prediction Machines: The Simple Economics of Artificial Intelligence, by artificial intelligence (AI) experts, Ajay Agrawal, Joshua Gans, and Avi Goldfarb, pulls no punches. AI is all about prediction—machines learning precisely what to do for us and to us. The learning is occurring at warp speed, as AI uses big data to pick our brains for what we know and what we like. The authors are partly infatuated and partly terrified by AI’s parasitic potential. Readers should read this chilling and insightful book, but they should do so with a bottle of scotch, ideally from one of Scotland’s ancient distilleries that has recently been fully automated. (JEL C45, C55, E26, M10, M20, O30)

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来源期刊

Journal of Economic Literature ECONOMICS-

CiteScore

17.80

自引率

0.80%

发文量

期刊介绍： Commencing in 1969, the Journal of Economic Literature (JEL) serves as a vital resource for economists, offering a means to stay informed about the extensive literature in the field. Each JEL issue features commissioned, peer-reviewed survey and review articles, book reviews, an annotated bibliography categorizing new books by subject, and an annual index of dissertations from North American universities.

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